43 search results - page 2 / 9 » A Study of Global Inference Algorithms in Multi-document Sum... |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
TFS
2008
13 years 4 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
CPAIOR
2008
Springer
13 years 7 months ago
2008
Springer
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
IPSN
2007
Springer
13 years 11 months ago
2007
Springer
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies di...